Evidence map›Paper›PMID 35321323›Full record

ReviewFrontiers in pharmacology2022

Promising Antioxidative Effect of Berberine in Cardiovascular Diseases.

Na An, Guoxia Zhang, Yingjian Li, Chao Yuan, Fan Yang, Lijing Zhang, Yonghong Gao, Yanwei Xing

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  19. Network Pharmacology andCurrent computer-aided drug design · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Na AnGuang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China.
Guoxia ZhangGuang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China.
Yingjian LiBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Chao YuanDezhou Second People's Hospital, Dezhou, China.
Fan YangGuang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China.
Lijing ZhangDepartment of Cardiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yonghong GaoKey Laboratory of Chinese Internal Medicine of Ministry of Education, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yanwei XingGuang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Berberine (BBR), an important quaternary benzylisoquinoline alkaloid, has been used in Chinese traditional medicine for over 3,000 years. BBR has been shown in both traditional and modern medicine to have a wide range of pharmacological actions, including hypoglycemic, hypolipidemic, anti-obesity, hepatoprotective, anti-inflammatory, and antioxidant activities. The unregulated reaction chain induced by oxidative stress as a crucial mechanism result in myocardial damage, which is involved in the pathogenesis and progression of many cardiovascular diseases (CVDs). Numerous researches have established that BBR protects myocardium and may be beneficial in the treatment of CVDs. Given that the pivotal role of oxidative stress in CVDs, the pharmacological effects of BBR in the treatment and/or management of CVDs have strongly attracted the attention of scholars. Therefore, this review sums up the prevention and treatment mechanisms of BBR in CVDs from

Indexed as

Berberinecardiovascular diseasecoronary atherosclerosismyocardial infarction/reperfusionreactive oxygen species

Identifiers

PMID35321323
PMCPMC8936808

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.